Sebastian Weichwald

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Max Planck Society

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Beware of the Simulated DAG! Varsortability in Additive Noise Models

Additive noise models are a class of causal models in which each variabl...
02/26/2021 ∙ by Alexander G. Reisach, et al. ∙ 0 ∙ share

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Causal structure learning from time series: Large regression coefficients may predict causal links better in practice than small p-values

In this article, we describe the algorithms for causal structure learnin...
02/21/2020 ∙ by Sebastian Weichwald, et al. ∙ 0 ∙ share

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Distributional robustness as a guiding principle for causality in cognitive neuroscience

While probabilistic models describe the dependence structure between obs...
02/14/2020 ∙ by Sebastian Weichwald, et al. ∙ 0 ∙ share

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groupICA: Independent component analysis for grouped data

We introduce groupICA, a novel independent component analysis (ICA) algo...
06/04/2018 ∙ by Niklas Pfister, et al. ∙ 0 ∙ share

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Causal Consistency of Structural Equation Models

Complex systems can be modelled at various levels of detail. Ideally, ca...
07/04/2017 ∙ by Paul K. Rubenstein, et al. ∙ 0 ∙ share

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A note on the expected minimum error probability in equientropic channels

While the channel capacity reflects a theoretical upper bound on the ach...
05/23/2016 ∙ by Sebastian Weichwald, et al. ∙ 0 ∙ share

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Recovery of non-linear cause-effect relationships from linearly mixed neuroimaging data

Causal inference concerns the identification of cause-effect relationshi...
05/02/2016 ∙ by Sebastian Weichwald, et al. ∙ 0 ∙ share

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Pymanopt: A Python Toolbox for Optimization on Manifolds using Automatic Differentiation

Optimization on manifolds is a class of methods for optimization of an o...
03/10/2016 ∙ by James Townsend, et al. ∙ 0 ∙ share

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Causal and anti-causal learning in pattern recognition for neuroimaging

Pattern recognition in neuroimaging distinguishes between two types of m...
12/15/2015 ∙ by Sebastian Weichwald, et al. ∙ 0 ∙ share

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Decoding index finger position from EEG using random forests

While invasively recorded brain activity is known to provide detailed in...
12/14/2015 ∙ by Sebastian Weichwald, et al. ∙ 0 ∙ share

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MERLiN: Mixture Effect Recovery in Linear Networks

Causal inference concerns the identification of cause-effect relationshi...
12/03/2015 ∙ by Sebastian Weichwald, et al. ∙ 0 ∙ share

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Causal interpretation rules for encoding and decoding models in neuroimaging

Causal terminology is often introduced in the interpretation of encoding...
11/15/2015 ∙ by Sebastian Weichwald, et al. ∙ 0 ∙ share

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